Papers citing 'A survey on policy search algorithms for learning robot controllers in a handful of trials'

Title
On the Statistical Query Complexity of Learning Semiautomata: a Random Walk Approach George Giapitzakis Kimon Fountoulakis Eshaan Nichani Jason D. Lee AAML 62 1 0 05 Oct 2025
Robotic Skill Diversification via Active Mutation of Reward Functions in Reinforcement Learning During a Liquid Pouring Task Jannick van Buuren Roberto Giglio Loris Roveda Luka Peternel 12 0 0 22 Sep 2025
A Comparative Study of Floating-Base Space Parameterizations for Agile Whole-Body Motion Planning Evangelos Tsiatsianas Chairi Kiourt Konstantinos Chatzilygeroudis 32 1 0 15 Aug 2025
Modular Robot Control with Motor Primitives Moses C. Nah Johannes Lachner Neville Hogan 191 1 0 15 May 2025
Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification Cristina Cornelio Flavio Petruzzellis Pietro Lio 167 3 0 06 Apr 2025
On the Fly Adaptation of Behavior Tree-Based Policies through Reinforcement Learning M. Iannotta J. A. Stork Erik Schaffernicht Todor Stoyanov 120 0 0 08 Mar 2025
The Mini Wheelbot: A Testbed for Learning-based Balancing, Flips, and Articulated DrivingIEEE International Conference on Robotics and Automation (ICRA), 2025 Henrik Hose Jan Weisgerber Sebastian Trimpe 99 2 0 07 Feb 2025
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABCInternational Statistical Review (ISR), 2021 F. Llorente Luca Martino Jesse Read D. Delgado OffRL 412 16 0 03 Jan 2025
Local Bayesian Optimization for Controller Tuning with Crash Constraints Alexander von Rohr David Stenger Dominik Scheurenberg Sebastian Trimpe 223 4 0 25 Nov 2024
Adaptable Recovery Behaviors in Robotics: A Behavior Trees and Motion Generators(BTMG) Approach for Failure Management Faseeh Ahmad Matthias Mayr Sulthan Suresh-Fazeela Volker Krueger 131 3 0 09 Apr 2024
Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery Cristina Cornelio Mohammed Diab OffRL 141 13 0 31 Mar 2024
Reinforced In-Context Black-Box Optimization Lei Song Chenxiao Gao Ke Xue Chenyang Wu Dong Li Haifeng Zhang Zongzhang Zhang Chao Qian 156 8 0 27 Feb 2024
Dropout Strategy in Reinforcement Learning: Limiting the Surrogate Objective Variance in Policy Optimization Methods Zhengpeng Xie Changdong Yu Weizheng Qiao 213 1 0 31 Oct 2023
BeBOP -- Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation TasksIEEE International Conference on Robotics and Automation (ICRA), 2023 Jonathan Styrud Matthias Mayr Erik Hellsten Volker Krueger Christian Smith 123 9 0 02 Oct 2023
End-to-End Stable Imitation Learning via Autonomous Neural Dynamic Policies Dionis Totsila Konstantinos Chatzilygeroudis Denis Hadjivelichkov Valerio Modugno I. Hatzilygeroudis Dimitrios Kanoulas 80 5 0 22 May 2023
Wasserstein Gradient Flows for Optimizing Gaussian Mixture PoliciesNeural Information Processing Systems (NeurIPS), 2023 Hanna Ziesche Leonel Rozo 140 9 0 17 May 2023
Efficient Robot Skill Learning with Imitation from a Single Video for Contact-Rich Fabric Manipulation Shengzeng Huo Anqing Duan Lijun Han Luyin Hu Hesheng Wang D. Navarro-Alarcon 95 1 0 24 Apr 2023
The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing Leonel Rozo A. Kupcsik Philipp Schillinger Meng Guo R. Krug ... Patrick Kesper Sabrina Hoppe Hanna Ziesche M. Burger Kai O. Arras 139 10 0 20 Apr 2023
Teaching contact-rich tasks from visual demonstrations by constraint extraction C. Hegeler Filippo Rozzi L. Roveda Kevin Haninger 78 0 0 30 Mar 2023
Keyframe Demonstration Seeded and Bayesian Optimized Policy Search Onur Berk Töre Farzin Negahbani Barış Akgün 75 1 0 19 Jan 2023
ReVoLT: Relational Reasoning and Voronoi Local Graph Planning for Target-driven Navigation Junjia Liu Jianfei Guo Zehui Meng Jing-wen Xue 177 4 0 06 Jan 2023
Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks Matthias Mayr Faseeh Ahmad Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 66 11 0 07 Dec 2022
Optimization-Based Control for Dynamic Legged RobotsIEEE Transactions on robotics (TRO), 2022 Patrick M. Wensing Michael Posa Yue Hu Adrien Escande Nicolas Mansard Andrea Del Prete 169 196 0 21 Nov 2022
Online Damage Recovery for Physical Robots with Hierarchical Quality-DiversityACM Transactions on Evolutionary Learning and Optimization (TELO), 2022 Maxime Allard Simón C. Smith Konstantinos Chatzilygeroudis Bryan Lim Antoine Cully 143 14 0 18 Oct 2022
E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories J. Huber Oumar Sane Alexandre Coninx F. B. Amar Stéphane Doncieux 130 1 0 14 Oct 2022
Robotic Control Using Model Based Meta AdaptionIEEE International Conference on Robotics and Automation (ICRA), 2022 Karam Daaboul Joel Ikels Marius Zöllner 97 2 0 07 Oct 2022
Learning to Exploit Elastic Actuators for Quadruped Locomotion Antonin Raffin D. Seidel Jens Kober Alin Albu-Schäffer João Silvério F. Stulp 115 6 0 15 Sep 2022
The case for fully Bayesian optimisation in small-sample trialsArtificial Intelligence and Cloud Computing Conference (AICC), 2022 Yuji Saikai 82 0 0 30 Aug 2022
Learning Skill-based Industrial Robot Tasks with User Priors Matthias Mayr Carl Hvarfner Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 116 21 0 02 Aug 2022
Gaussian Process Self-triggered Policy Search in Weakly Observable EnvironmentsIEEE International Conference on Robotics and Automation (ICRA), 2022 Hikaru Sasaki T. Hirabayashi Kaoru Kawabata Takamitsu Matsubara 109 3 0 07 May 2022
GloCAL: Glocalized Curriculum-Aided Learning of Multiple Tasks with Application to Robotic GraspingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Anil Kurkcu C. Acar D. Campolo K. P. Tee 94 1 0 14 Apr 2022
Hierarchical Quality-Diversity for Online Damage RecoveryAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2022 Maxime Allard Simón C. Smith Konstantinos Chatzilygeroudis Antoine Cully 132 12 0 12 Apr 2022
Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task DivisionIEEE International Conference on Robotics and Automation (ICRA), 2022 Dafni Antotsiou C. Ciliberto Tae-Kyun Kim 120 3 0 28 Mar 2022
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge IntegrationIEEE International Conference on Robotics and Biomimetics (ROBIO), 2022 Matthias Mayr Faseeh Ahmad Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 119 29 0 18 Mar 2022
GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World ControlIEEE International Conference on Robotics and Automation (ICRA), 2022 Abdolreza Taheri Joni Pajarinen R. Ghabcheloo GP 124 3 0 28 Feb 2022
Temporal Logic Guided Motion Primitives for Complex Manipulation Tasks with User PreferencesIEEE International Conference on Robotics and Automation (ICRA), 2022 Hao Wang Haoyuan He Weiwei Shang Z. Kan 78 5 0 09 Feb 2022
Optimality in Noisy Importance SamplingSignal Processing (Signal Process.), 2022 F. Llorente Luca Martino Jesse Read D. Delgado 189 5 0 07 Jan 2022
Policy Search for Model Predictive Control with Application to Agile Drone Flight Yunlong Song Davide Scaramuzza 164 100 0 07 Dec 2021
Robot Learning from Randomized Simulations: A ReviewFrontiers in Robotics and AI (Front. Robot. AI), 2021 Fabio Muratore Fabio Ramos Greg Turk Wenhao Yu Michael Gienger Jan Peters AI4CE 179 97 0 01 Nov 2021
Model Learning and Contextual Controller Tuning for Autonomous Racing Lukas P. Frohlich Christian Küttel Elena Arcari Lukas Hewing Melanie Zeilinger Andrea Carron 138 23 0 06 Oct 2021
Learning of Parameters in Behavior Trees for Movement SkillsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Matthias Mayr Konstantinos Chatzilygeroudis Faseeh Ahmad Luigi Nardi Volker Krueger OffRL 111 22 0 27 Sep 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 165 740 0 13 Aug 2021
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?International Conference on Learning Representations (ICLR), 2021 Jun Yao Gabriel Hurtado Albert Thomas 101 13 0 24 Jul 2021
Hierarchical Few-Shot Imitation with Skill Transition ModelsInternational Conference on Learning Representations (ICLR), 2021 Kourosh Hakhamaneshi Ruihan Zhao Albert Zhan Pieter Abbeel Michael Laskin OffRL 111 51 0 19 Jul 2021
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation Yaowen Yao Li Xiao Zhicheng An Wanpeng Zhang Dijun Luo 138 23 0 05 Jul 2021
Cautious Bayesian Optimization for Efficient and Scalable Policy SearchConference on Learning for Dynamics & Control (L4DC), 2020 Lukas P. Frohlich Melanie Zeilinger Edgar D. Klenske OffRL 120 14 0 18 Nov 2020
Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search Jakob J. Hollenstein Erwan Renaudo Matteo Saveriano J. Piater 58 2 0 24 Oct 2020
Variable impedance control and learning -- A review Fares J. Abu-Dakka Matteo Saveriano AI4CE 169 176 0 13 Oct 2020
Robust walking based on MPC with viability guaranteesIEEE Transactions on robotics (IEEE Trans. Robot.), 2020 Mohammad Hasan Yeganegi Majid Khadiv Andrea Del Prete S. A. A. Moosavian Ludovic Righetti 106 29 0 09 Oct 2020
Trade-off on Sim2Real Learning: Real-world Learning Faster than Simulations Jingyi Huang Yizheng Zhang F. Giardina A. Rosendo OffRL 175 1 0 21 Jul 2020